AI Use Case
Alerting and diagnostics from real time patient data
Alerting and diagnostics from real-time patient data - this might include, for example, warning of a life-threatening incident such as a heart attack.
Risk reduction - Patient outcomes,Operational Support - Issue / outlier ID,Operational Support - Situational awareness
Cleveland Clinic~Cleveland Clinic and Microsoft identify at-risk patients in ICU to prevent the occurrence of cardiac failure with machine learning ensembles,El Camino Hospital~El Camino Hospital reduces number of patient falls by 39% using machine learning to predict when a patient is about to fall,Graphnet ~Graphnet detects changes indicative of a seizure in epileptic patients using wearable tracker and machine learning and notifies the patient and carer via app,"Fraunhofer Heinrich Hertz Institute ~Fraunhofer Heinrich Hertz Institute and University Medical Center Schleswig-Holstein, a German University Hospital, has developed an algorithm to detect the probability of getting heart attack from ECG and EEG, matching accuracies achieved by cardiologists",Kaiser Permanente~Kaiser Permanente predicts probability of rapid deterioration of patient condition and alerts physicians using machine learning,Government of Japan~Japan to automate patient information entry and some medical procedures by investing in 10 AI-powered hospitals ,Autonomous Healthcare~Autonomous Healthcare detects different types of ventilator asynchrony in ICU patients with machine learning,European Emergency Number Association (EENA)~The European Emergency Number Association (EENA) to pilot heart attack detection service with the use of neural networks
Healthcare Providers And Services
Algorithm - Boosting,Traditional AI,Machine Learning (ML),ML Task - Prediction - Binary Classification,Model Architecture - Deep Neural Networks,ML Task - Prediction - Regression,Model Architecture - Convolutional Neural Network (CNN)